Meta tests new content recommendations for Facebook users. The company aims to improve personalization. This test shows users more posts they might like. These posts come from sources they don’t follow yet. Facebook uses signals to find relevant content. Signals include user activity and interests. The goal is helping people discover new things.
(Meta Tests New Content Recommendations for Facebook for Greater Personalization)
The test is small right now. Only some users in certain countries see it. Meta gathers feedback during this phase. User input helps shape the final product. The company wants recommendations to feel right. They should match what users find interesting. This means showing fewer irrelevant posts.
Meta states user control remains important. People can still tell Facebook what they like. They can also say what they don’t want to see. Settings for hiding posts or unfollowing stay available. Feedback tools are also present. Meta believes this approach offers value. Users see more diverse content they care about. Creators also gain new audiences potentially.
The test involves different types of content. Posts, photos, and videos are all included. The system looks at many factors. These factors determine what gets recommended. Meta uses advanced technology for this. The technology learns from user interactions. It tries to predict what someone will enjoy next.
(Meta Tests New Content Recommendations for Facebook for Greater Personalization)
This effort is part of broader Meta work. The company constantly updates its platforms. Improving user experience is a key focus. Personalized discovery is a big part of that. Meta hopes these tests lead to better feeds. People should find Facebook more useful and engaging. The company plans further updates later.